ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025
The Translational Research Program in Cancer Differences across Populations.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Site- and age-dependent associations between Fusobacterium nucleatum and colorectal cancer mortality.Cancer · 2026Article
- The Phylum Fusobacteriota Is Associated with Colorectal Cancer-Specific Mortality: Results from the Translational Research Program in Cancer Differences across Populations.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
39 authors.
Funding
Abstract
backgroundCancer incidence and mortality vary substantially across populations. The Translational Research Program in Cancer Differences across Populations (TRPCDP) was established in 2020 to address differences in cancer incidence and mortality rates within the United States, with a particular focus on colorectal cancer.
methodsThe TRPCDP centralized data acquisition and harmonization across three sites in the United States to create a well-annotated resource of colorectal cancer tumors across four populations: African American/Black, Alaska Native, Hispanic/Latino/Latina, and non-Hispanic White. Using a case-control framework, patients with lethal colorectal cancer were matched to two controls with nonlethal colorectal cancer. Formalin-fixed, paraffin-embedded tumor and normal tissue were retrieved and sent for centralized pathology review, followed by DNA and RNA extraction and tissue microarray development. Multiomics and spatial profiling are underway to evaluate the transcriptome, proteome, and microbiome. Patient demographic and clinical data were obtained by medical record review, patient self-report, or linkage to cancer registries. Additional health-related factors were assessed using geospatial linkage.
resultsThe virtual biorepository includes 7,181 patients [African American (n = 1,345), Alaska Native (n = 1,640), Hispanic (n = 1,659), and non-Hispanic White (n = 2,537)]. Tissue blocks (1,594 tumor and 728 normal colon samples) were selected for 938 patients. To date, DNA and RNA have been extracted (n = 831), and tissue microarrays have been constructed (n = 414). Transcriptomic analysis, spatial tumor profiling (multiplex immunofluorescence, PhenoCycler, and GeoMx), and microbiome data (16S rRNA sequencing and digital droplet PCR) are available.
conclusionsThe TRPCDP has developed a clinically annotated biorepository for future molecular epidemiology studies. IMPACT: The TRPCDP is a unique program that supports collaborative research, community engagement, and pipeline development for the next generation of scientists.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.